Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
Scale gamified creator programs without chaos by mastering challenge design, onboarding automation, payout triggers, and fraud prevention at volume.
Machine learning attribution models help brands trace creator-driven sales beyond last-click, unlocking accurate ROI measurement for influencer programs.
A practical governance framework for integrating ChatGPT-generated ad creative into paid social workflows covering approval, disclosure, and benchmarking.
Brand teams need a generative AI creative stack that fits governance, workflow, and quality demands. Here’s how to evaluate the leading tools.
ChatGPT-powered ad campaigns are breaking standard attribution models. Here’s what CMOs should demand from their analytics stack now.
Brands use generative AI in Adobe’s ecosystem to personalize campaign assets at scale while enforcing brand governance through AI-augmented creative briefs.
Compare Adobe Firefly, Runway, and Sora for brand teams — practical guidance on cost, compliance, and creative output for mid-market marketers.
Build a conversion-first creator stack that consistently surfaces influencers who drive measurable revenue through smarter selection, briefing, and attribution.
Early data on ChatGPT-powered ads looks promising, but measurement gaps leave advertisers with more questions than answers. Here’s what we know.
Adobe’s AI marketing suite tempts CMOs to consolidate, but best-in-class tools still win in specific scenarios. Here’s how to decide.